Training large language models (LLMs) to master complex tasks, especially those requiring structured outputs like generating precise code or engaging in multi-step reasoning is challenging even for current state of the art (SOTA) models.

The conversation around artificial general intelligence (AGI) often swings between grand predictions and deep skepticism.

Training large language models (LLMs) to master complex tasks, especially those requiring structured outputs like generating precise code...